🤖 AutoGPT

🏗️ (Recommended)	🐋	🐋
cargo install autogpt --all-features	docker pull kevinrsdev/autogpt:0.1.1	docker pull kevinrsdev/orchgpt:0.1.1
autogpt -h orchgpt -h	docker run autogpt -h	docker run orchgpt -h

AutoGPT is a pure rust framework that simplifies AI agent creation and management for various tasks. Its remarkable speed and versatility are complemented by a mesh of built-in interconnected GPTs, ensuring exceptional performance and adaptability.

🚀 Features

• Agent Creation: Easily create different types of agents tailored to specific tasks.
• Task Management: Efficiently manage tasks and distribute them among agents.
• Extensible: Extend functionality by adding new agent types and task handling capabilities.
• CLI Interface: Command-line interface for seamless interaction with the framework.
• SDK Integration: Software development kit for integrating AutoGPT into existing projects.

📦 Installation

Please refer to our tutorial for guidance on installing, running, and/or building the CLI from source using either Cargo or Docker.

🔄 Workflow

AutoGPT supports two modes of operation, enabling both standalone and distributed use cases:

1. 🧠 Agentic Networkless Mode (Standalone)

In this mode, the user runs an individual autogpt agent directly via a subcommand (e.g., autogpt arch). Each agent operates independently without needing a networked orchestrator.

                       +------------------------------------+
                       |                User                |
                       |             Provides               |
                       |          Project Prompt            |
                       +------------------+-----------------+
                                          |
                                          v
                       +------------------+-----------------+
                       |               ManagerGPT           |
                       |            Distributes Tasks       |
                       |          to Backend, Frontend,     |
                       |           Designer, Architect      |
                       +------------------+-----------------+
                                          |
                                          v
   +--------------------------+-----------+----------+----------------------+
   |                          |                      |                      |
   |                          v                      v                      v
+--+---------+       +--------+--------+       +-----+-------+       +-----+-------+
|  Backend   |       |    Frontend     |       |  Designer   |       |  Architect  |
|    GPT     |       |      GPT        |  ...  |    GPT      |       |  GPT        |
|            |       |                 |       |  (Optional) |       |             |
+--+---------+       +-----------------+       +-------------+       +-------------+
   |                          |                       |                       |
   v                          v                       v                       v
(Backend Logic)        (Frontend Logic)   ...   (Designer Logic)        (Architect Logic)
   |                          |                       |                       |
   +--------------------------+----------+------------+-----------------------+
                                         |
                                         v
                      +------------------+-----------------+
                      |               ManagerGPT           |
                      |       Collects and Consolidates    |
                      |        Results from Agents         |
                      +------------------+-----------------+
                                         |
                                         v
                      +------------------+-----------------+
                      |                User                |
                      |            Receives Final          |
                      |             Output from            |
                      |            ManagerGPT              |
                      +------------------------------------+

• ✍️ User Input: Provide a project's goal (e.g. "Develop a full stack app that fetches today's weather. Use the axum web framework for the backend and the Yew rust framework for the frontend.").
• 🚀 Initialization: AutoGPT initializes based on the user's input, creating essential components such as the ManagerGPT and individual agent instances (ArchitectGPT, BackendGPT, FrontendGPT).
• 🛠️ Agent Configuration: Each agent is configured with its unique objectives and capabilities, aligning them with the project's defined goals. This configuration ensures that agents contribute effectively to the project's objectives.
• 📋 Task Allocation: ManagerGPT distributes tasks among agents considering their capabilities and project requirements.
• ⚙️ Task Execution: Agents execute tasks asynchronously, leveraging their specialized functionalities.
• 🔄 Feedback Loop: Continuous feedback updates users on project progress and addresses issues.

2. 🌐 Agentic Networking Mode (Orchestrated)

In networking mode, autogpt connects to an external orchestrator (orchgpt) over a secure TLS-encrypted TCP channel. This orchestrator manages agent lifecycles, routes commands, and enables rich inter-agent collaboration using a unified protocol.

AutoGPT introduces a novel and scalable communication protocol called IAC (Inter/Intra-Agent Communication), enabling seamless and secure interactions between agents and orchestrators, inspired by operating system IPC mechanisms.

In networking mode, AutoGPT utilizes a layered architecture:

                       +------------------------------------+
                       |                User                |
                       |         Sends Prompt via CLI       |
                       +------------------+-----------------+
                                          |
                                          v
                            TLS + Protobuf over TCP to:
                       +------------------+-----------------+
                       |             Orchestrator           |
                       |     Receives and Routes Commands   |
                       +-----------+----------+-------------+
                                   |          |
     +-----------------------------+          +----------------------------+
     |                                                                     |
     v                                                                     v
+--------------------+                                         +--------------------+
|   ArchitectGPT     |<---------------- IAC ------------------>|    ManagerGPT      |
+--------------------+                                         +--------------------+
   |                        Agent Layer:                                   |
   |          (BackendGPT, FrontendGPT, DesignerGPT)                       |
   +-------------------------------------+---------------------------------+
                                         |
                                         v
                               Task Execution & Collection
                                         |
                                         v
                           +---------------------------+
                           |           User            |
                           |     Receives Final Output |
                           +---------------------------+

All communication happens securely over TLS + TCP, with messages encoded in Protocol Buffers (protobuf) for efficiency and structure.

1. User Input: The user provides a project prompt like:

   /architect create "fastapi app" | python
   

   This is securely sent to the Orchestrator over TLS.

2. Initialization: The Orchestrator parses the command and initializes the appropriate agent (e.g., ArchitectGPT).

3. Agent Configuration: Each agent is instantiated with its specialized goals:

   • ArchitectGPT: Plans system structure
   • BackendGPT: Generates backend logic
   • FrontendGPT: Builds frontend UI
   • DesignerGPT: Handles design

4. Task Allocation: ManagerGPT dynamically assigns subtasks to agents using the IAC protocol. It determines which agent should perform what based on capabilities and the original user goal.

5. Task Execution: Agents execute their tasks, communicate with their subprocesses or other agents via IAC (inter/intra communication), and push updates or results back to the orchestrator.

6. Feedback Loop: Throughout execution, agents return status reports. The ManagerGPT collects all output, and the Orchestrator sends it back to the user.

🤖 Available Agents

At the current release, Autogpt consists of 8 built-in specialized autonomous AI agents ready to assist you in bringing your ideas to life! Refer to our guide to learn more about how the built-in agents work.

📌 Examples

Your can refer to our examples for guidance on how to use the cli in a jupyter environment.

📚 Documentation

For detailed usage instructions and API documentation, refer to the AutoGPT Documentation.

🤝 Contributing

Contributions are welcome! See the Contribution Guidelines for more information on how to get started.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.